SEHS Topic 6: Measurement and Evaluation of Human Performance.

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SEHS Topic 6: Measurement and Evaluation of Human Performance

Transcript of SEHS Topic 6: Measurement and Evaluation of Human Performance.

Page 1: SEHS Topic 6: Measurement and Evaluation of Human Performance.

SEHS Topic 6: Measurement and Evaluation of Human Performance

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• Can you calculate the mean and standard deviation?(must be able to perform it on a Ti-84 or similar calculator)

• Instructions: http://www.ehow.com/how_8054806_calculate-standard-deviations-ti84s.html

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Outline what information error bars provide on a graph

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What do 1 and 2 standard deviations say about a normally distributed data set?

• Approximately 68% to 95% of the data values fall within +/- one or two standard deviations of the mean

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Explain how the standard deviation is useful

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Coefficient of Variation

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Deduce the significance of the difference between two sets of data using calculated t-test values

• When a t-test can be applied?:• Data should have a normal distribution (aka. a continuous

probability distribution )• every normal curve (regardless of its mean or standard

deviation) conforms to the following "rule".– About 68% of the area under the curve falls within 1 standard

deviation of the mean.– About 95% of the area under the curve falls within 2 standard

deviations of the mean.– About 99.7% of the area under the curve falls within 3 standard

deviations of the mean.)* Sample size of at least 10/data set*Used for two-tailed*Paired or unpaired data

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T-test Cont’dhttp://www.ats.ucla.edu/stat/mult_pkg/faq/general/tail_tests.htm

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Explain that the existence of a correlation does not establish that there is a causal relationship

between two variables

• Relationship vs cause• Specificity• There is a relationship between lung cancer and

smoking• Is smoking the cause of all lung cancers?– Strong correlation but not necessarily the cause

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Proper Study Design• When measuring an individual’s fitness levels it is

important to ensure it is done as well as possible• Main factors to take into account:– Specificity (sport specific tests….ex?)

– Accuracy(technical/instrument upkeep)

– Reliability (the degree to which a measure would produce the same result from one occasion to another) – test after skill is learned completely to avoid habituation effect

– Validity(sport specific test and repititions)

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Designing sport and exercise science experiments

• Cause and effect experimentation• Does taking 20g of creatine phosphate 30 minutes

before a resistance training workout produce significant improvement of one’s 1 rep max?

• What’s wrong with this design?• How can it be designed better?

PRE-TEST ---- TREATMENT W/ CP

------- POST-TEST

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Here’s a hint:

EXPERIMENTAL GROUP

PRE-TEST ------- ------ POST TEST

CONTROL GROUP

PRE-TEST ------- ------- POST TEST

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Made better still by adding a placebo